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Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System

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Boers, Niklas, Bookhagen, Bodo, Marwan, Norbert, Kurths, Jürgen, Marengo, José·2013·Geophysical Research Letters

Abstract

We investigate the spatial characteristics of extreme rainfall synchronicity of the South American Monsoon System (SAMS) by means of Complex Networks (CN). By introducing a new combination of CN measures and interpreting it in a climatic context, we investigate climatic linkages and classify the spatial characteristics of extreme rainfall synchronicity. Although our approach is based on only one variable (rainfall), it reveals the most important features of the SAMS, such as the main moisture pathways, areas with frequent development of Mesoscale Convective Systems (MCS), and the major convergence zones. In addition, our results reveal substantial differences between the spatial structures of rainfall synchronicity above the 90th and above the 95th percentiles. Most notably, events above the 95th percentile contribute stronger to MCS in the La Plata Basin.

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Metadata

Authors
Boers, N., Bookhagen, B., Marwan, N., Kurths, J., & Marengo, J.
Venue
Geophysical Research Letters
Published
2013-08-27
Volume
40
Issue
16
Pages
4386-4392
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W2164218975
Cited by
228
References
0
FWCI
12.84
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System. https://app.cochat.ai/papers/10.1002/grl.50681
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Boers, N., Bookhagen, B., Marwan, N., Kurths, J., & Marengo, J. (2013). Complex networks identify spatial patterns of extreme rainfall events of the South American Monsoon System. Geophysical Research Letters. https://doi.org/10.1002/grl.50681

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